Senior Machine Learning Engineer / Data Scientist

Bloomreach is building the world’s premier  agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the  entire  customer journey. We're taking  autonomous search  mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making  conversational shopping  a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of  autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine —  Loomi AI  — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for search, recommendation and behavioral insights that are used to personalize digital experiences for our customers. The salary starts at €4,800 gross per month , along with restricted stock units and other benefits. We are currently allowing flexibility for our employees to work from anywhere for the respective region (Central & Eastern Europe)  or we are happy to  meet you in our offices in Bratislava (Slovakia) or Brno, Prague (Czechia) on a full-time basis. Your Responsibilities: Design, develop, and enhance ML/AI models which mainly power Search and Recommendation. Process historical data, search queries, product cathalog, and images to extract hidden relations and features. Conduct research to explore ongoing cutting-edge ML techniques (especially deep learning) and conduct a quick POC. Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data. Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences. Qualifications: BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python) Ideally at least 3 years of experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment. Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials. Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking. Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery. Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies. Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers). Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure). Effective communication skill in English, both verbally and in written form. #LI-KP1 More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don’t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one.  We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication.  We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*. The Bloomreach Glassdoor page elaborates on our stellar 4.4/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5 Personal Development: We have a People Development Program -- participating in personal development workshops on various topics run by experts fr